Network Intelligence as a Service
State-of-art AI/ML applied to telco operations to elevate problem-solving and decision-making capabilities
As network operations become increasingly complex, the role of autonomous networks has become crucial. Until 4G, telco service provision primarily catered to services accessed by people, with operational processes built around human behavior. Traditionally, Communication Service Providers (CSPs) typically perform maintenance activities during nighttime hours when people are asleep, with capacity planned around an analysis of population densities and known commuter routes, and anticipated traffic peaks based on consistent human behavior, such as busy hours and holidays. But for 5G and beyond, networks are required to deliver services to a fast-growing array of non-human devices with varying requirements in terms of bandwidth, latency, and usage patterns. Telco operations to support such a heterogeneous set of services are therefore set to grow progressively more complex.
To fulfill the demanding and complex service needs of 5G networks and beyond, CSPs need to harness advantages of autonomous networks and be empowered to:
Mavenir provides end-to-end solution for building autonomous 5G networks, enabling autonomy in 5G RAN, Core, and IMS networks by using following solution components:
State-of-art AI/ML applied to telco operations to elevate problem-solving and decision-making capabilities
GitOps-based cloud-native automation reducing time, cost and human errors in network operations
Evolution of OAM to cloud native operations which are horizontal, multi-consumer and the foundation for programme telemetry
By adopting proven cloud, automation, and intelligence best practices from the IT sector, CSPs can gain a competitive edge and dramatically accelerate their digital transformation journey. Mavenir’s next-generation solutions for intelligent, automated and programmable networks leverage leading open-source frameworks – spanning K8s/container cloud, GitOps-based cloud-native automation, and state of the art AI/ML algorithms – and optimize these models for the unique needs of CSPs, delivering cutting-edge innovation at lightning speed and with unprecedented agility.
Witness the remarkable results of our AI-native Open-RAN deployment, optimizing commercial 4G/5G mobile traffic. This demonstration showcases the results of applying the advanced AI algorithms of NIaaS to commercial 4G/5G mobile traffic – reported live from the field deployment of a Tier 1 brownfield mobile network operator’s 5G NSA network. The results demonstrate how remarkable insights and intelligence about the network can be harnessed towards optimization – generating tangible improvements in performance and user experience KPIs.